code: def test_torch_topk(
      dtype_x_axis_k,
      largest,
      sorted,
      frontend,
      test_flags,
      fn_tree,
      backend_fw,
  ):
      input_dtype, input, axis, k = dtype_x_axis_k
      helpers.test_frontend_function(
          input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          input=input[0],
          k=k,
          dim=axis,
          largest=largest,
          sorted=sorted,
          test_values=False,
      )
  
imports: import numpy
  from hypothesis import assume, strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers.testing_helpers import handle_frontend_test
label_desc: Use image node_id 26 for calling a global function with example usage: test_torch_topk(dtype_x_axis_k, largest, sorted, frontend, test_flags, fn_tree, backend_fw) without return types